3 papers
cs.CL2026
HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities
Shusaku Egami, Aoi Ohta, Tomoki Tsujimura +5
Large Language Models (LLMs) provide flexible natural language processing capabilities, while knowledge graphs (KGs) offer explicit and structured knowledge. Integrating these two…
cs.AI2026
A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web
Shusaku Egami, Masahiro Hamasaki
The evolution of Large Language Models (LLMs) and the software agents built on them (AI agents) marks a turning point in the transition from a human-centric Web to an ``Agentic Web…
cs.LG2025
Comparison of Metadata Representation Models for Knowledge Graph Embeddings
Shusaku Egami, Kyoumoto Matsushita, Takanori Ugai +1
Hyper-relational Knowledge Graphs (HRKGs) extend traditional KGs beyond binary relations, enabling the representation of contextual, provenance, and temporal information in domains…